Manager, Smart Factory Solutions

Magna

Smart Factory Manager leading a team to develop software for digitizing production lines and implementing streaming machine controls. Focused on building modern smart factory solutions and collaborating with cross-functional teams.

Posted 7/9/2026full-timeTroy • 🇨🇦 CanadaMid-LevelSenior💰 CA$110,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and implementing smart factory solutions, Industrial IoT applications, and cloud-native infrastructure using Infrastructure as Code methodologies. Proficient in leveraging AWS services for AI-driven manufacturing and operational efficiency.

Highest-signal resume keywords

Smart Factory SolutionsIndustrial IoT (IIoT)Infrastructure as Code (IaC)Amazon Web Services (AWS)AI and Generative AI Solutions

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Hard Skills

Go (Golang)TypeScriptPythonJavaScriptC#JavaC++API DevelopmentCloud-Native ArchitectureDatabase Technologies

Soft Skills

CollaborationProblem-SolvingTroubleshootingTechnical Documentation

Tools & Technologies

TerraformAWS IoTAWS LambdaAWS BedrockAgentCoreJiraConfluence

Industry Keywords

AgileDevOpsCI/CD PipelinesCybersecurity PrinciplesManufacturing Performance Metrics

Tech Stack

Tools & technologies

AWSCloudCyber SecurityGoIoTJavaJavaScriptMicroservicesNoSQLPythonSQLTerraformTypeScript

About the role

Key responsibilities & impact

Develop and implement modern smart factory solutions that connect legacy manufacturing equipment to scalable digital infrastructure.
Design, deploy, and maintain Industrial IoT (IIoT) applications operating both on-premises and in cloud environments.
Build and manage cloud-native infrastructure using Infrastructure as Code (IaC) methodologies, including Terraform.
Develop and support AWS-based solutions for leveraging services such as AWS IoT, AWS Lambda, AWS Bedrock, and AgentCore for AI-driven manufacturing and operational use cases.
Design and implement AI-enabled workflows, intelligent agents, and automation solutions to improve operational efficiency and decision-making.
Manage software deployments, system updates, patches, and release processes across production and development environments.
Collaborate with cross-functional teams to brainstorm, architect, and implement innovative Industry 4.0 solutions.
Develop KPIs, dashboards, metrics, and monitoring tools to track smart factory and production performance.
Provide detailed technical specifications for proposed solutions, including required hardware, software, cloud services, external vendors, and internal resources.
Actively troubleshoot and resolve issues encountered during development, testing, deployment, and production operations.
Participate in Agile software development processes, including sprint planning, backlog refinement, and stand-ups using tools such as Jira.
Maintain technical documentation, architecture diagrams, operational procedures, and project artifacts using Confluence and related documentation platforms.

Requirements

What you’ll need

Strong experience designing and implementing smart factory, Industrial IoT (IIoT), and cloud-connected manufacturing solutions.
Experience with Infrastructure as Code (IaC) tools, particularly Terraform.
Hands-on experience with Amazon Web Services (AWS), including cloud architecture, deployment, and operational management.
Experience developing AI and generative AI solutions using AWS Bedrock and AgentCore.
Proficiency in modern programming languages such as Go (Golang), TypeScript, Python, JavaScript, C#, Java, and/or C++.
Experience developing scalable APIs, backend services, and distributed applications.
Strong understanding of cloud-native architectures, containerization, and microservices principles.
Experience with databases and multiple forms of data storage technologies (SQL, NoSQL, time-series, and cloud-native storage platforms).
Good understanding of IoT architectures, cybersecurity principles, and communication protocols such as MQTT.
Experience with DevOps practices, CI/CD pipelines, source control systems, and automated deployment strategies.
Knowledge of Agile and traditional project management methodologies including Agile/Scrum and Waterfall.
Experience using Agile collaboration and tracking tools such as Jira.
Experience maintaining technical and operational documentation using Confluence or similar platforms.
Understanding statistical analysis and manufacturing performance metrics.

Benefits

Comp & perks

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